[FreeCoursesOnline.Me] PentesterAcademy - Data Science and Machine Learning for Infosec

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[FreeCoursesOnline.Me] PentesterAcademy - Data Science And Machine Learning For Infosec - [FCO]

Torrent Details

[FreeCoursesOnline.Me] PentesterAcademy - Data Science and Machine Learning for Infosec - [FCO]

NAME: [FreeCoursesOnline.Me] PentesterAcademy - Data Science and Machine Learning for Infosec - [FCO].torrent

CATEGORY: Other

INFOHASH: f800b843304770030590ed3a727a922a01ee4132

SIZE: 20.5 GB in 57 files

ADDED: Uploaded on 19-11-2018 by our crawler pet called "Spidey".

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Description

Author : Sinan Ozdemir
Lectures : 50
Torrent Contains : 59 Files
Course Source : https://www.pentesteracademy.com/course?id=30

About Course :

The age of intelligent machines is here! We are now seeing Machine Learning disrupting every technological field including computer security. As more and more security products use Machine Learning, it is important as Pentesters and Security Researchers to understand how to make and break this technology!

About Author :

Sinan Ozdemir is a Data Scientist and Machine Learning expert from San Francisco with a Masters in Theoretical Mathematics from Johns Hopkins University where he served as a lecturer of Mathematics, Statistics and Computer Science for sometime. He is author of the book "Principles of Data Science" and the course "Data Science for Infosec Professionals" for Pentester Academy (2017 release). He is also currently the co-Founder/CTO of Legion Analytics, a machine learning startup. Sinan's passion for data and education has followed him all over the country where he has taught in several prison systems, conferences and universities.

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Files in this torrent

FILENAME		SIZE
	1 - Data Science and Machine Learning for Infosec- COURSE INTRODUCTION.MP4	15.7 MB
	1 - Lab Setup and Installation.mp4	118.3 MB
	1.1 - Module 1- Pandas Part 1.mp4	491.4 MB
	1.2 - Module 1- Pandas Part 2 .mp4	543.9 MB
	1.3 - Module 1- Pandas Part 3 .mp4	865.5 MB
	1.4 - Module 1 Pandas Part 4 .mp4	599.7 MB
	10.1 - Module 10- Dimension Reduction Part 1.mp4	353.8 MB
	10.2 - Module 10- Dimension Reduction Part 2.mp4	395.3 MB
	10.3 - Module 10- Dimension Reduction Part 3.mp4	687.9 MB
	11.1 - Module 11- Clustering Part 1.mp4	560.7 MB
	11.2 - Module 11- Clustering Part 2.mp4	366.9 MB
	11.3 - Module 11- Clustering Part 3.mp4	330.3 MB
	12.1 - Module 12- Stochastic Gradient Descent Part 1.mp4	438.7 MB
	12.2 - Module 12- Stochastic Gradient Descent Part 2 .mp4	377.6 MB
	12.3 - Module 12- Stochastic Gradient Descent Part 3.mp4	655 MB
	13.1 - Module 13- Neural Networks - Deep Learning Part 1.mp4	336.3 MB
	13.2 - Module 13- Neural Networks - Deep Learning Part 2.mp4	314.4 MB
	13.3 - Module 13- Neural Networks - Deep Learning Part 3.mp4	719.3 MB
	14.1 - Module 14- Recommendations Engine Part 1.mp4	497.6 MB
	14.2 - Module 14- Recommendations Engine Part 2.mp4	386 MB
	2.1 - Module 2- K Nearest Neighbors (KNN) Part 1 .mp4	407.2 MB
	2.2 - Module 2- K Nearest Neighbors (KNN) Part 2.mp4	398 MB
	2.3 - Module 2- K Nearest Neighbors (KNN) Part 3.mp4	519 MB
	2.4 - Module 2- K Nearest Neighbors (KNN) Part 4.mp4	308 MB
	3.1 - Module 3- Model Evaluation and Linear Regression Part 1.mp4	294.5 MB
	3.2 - Module 3- Model Evaluation and Linear Regression Part 2.mp4	424.5 MB
	3.3 - Module 3- Model Evaluation and Linear Regression Part 3.mp4	313.5 MB
	3.4 - Module 3- Model Evaluation and Linear Regression Part 4.mp4	422.8 MB
	4.1 - Module 4- Logistic Regression Part 1 .mp4	283.9 MB
	4.2 - Module 4- Logistic Regression Part 2.mp4	199.9 MB
	4.3 - Module 4- Logistic Regression Part 3.mp4	289.5 MB
	4.4 - Module 4- Logistic Regression Part 4 .mp4	344.1 MB
	5.1 - Module 5- Natural Language Processing Part 1.mp4	397.7 MB
	5.2 - Module 5- Natural Language Processing Part 2.mp4	305.3 MB
	5.3 - Module 5- Natural Language Processing Part 3.mp4	290.9 MB
	5.4 - Module 5- Natural Language Processing Part 4.mp4	381 MB
	6.1 - Module 6- Naive Bayes Classification Part 1.mp4	212.4 MB
	6.2 - Module 6- Naive Bayes Classification Part 2.mp4	293.4 MB
	6.3 - Module 6- Naive Bayes Classification Part 3.mp4	250.8 MB
	6.4 - Module 6- Naive Bayes Classification Part 4.mp4	306.4 MB
	7.1 - Module 7- Advanced Scikit Learn Part 1.mp4	416.5 MB
	7.2 - Module 7- Advanced Scikit Learn Part 2 .mp4	363.4 MB
	8.1 - Module 8- Decision Trees Part 1 .mp4	460.3 MB
	8.2 - Module 8- Decision Trees Part 2 .mp4	579.1 MB
	8.3 - Module 8- Decision Trees Part 3 .mp4	908.3 MB
	9.1 - Module 9- Ensembling Techniques Part 1.mp4	432.3 MB
	9.2 - Module 9- Ensembling Techniques Part 2.mp4	403 MB
	9.3 - Module 9- Ensembling Techniques Part 3.mp4	733.5 MB
	9.4 - Module 9- Ensembling Techniques Part 4.mp4	443.8 MB
	Case Study- Detecting Malicious URLs.mp4	442.1 MB
	code.zip	8 MB
	data.zip	99.7 MB
	Discuss.FreeTutorials.Us.html	165.7 KB
	FreeCoursesOnline.Me.html	108.3 KB
	FreeTutorials.Eu.html	102.2 KB
	Presented By SaM.txt	33 B
	urls file.rar	5.1 KB